Source code for annofabapi.pydantic_models.task_request

"""


No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

The version of the OpenAPI document: 1.0.0
Generated by OpenAPI Generator (https://openapi-generator.tech)

Do not edit the class manually.
"""

from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from typing import Any, ClassVar, Dict, List, Set

from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing_extensions import Self


[docs] class TaskRequest(BaseModel): """ TaskRequest """ input_data_id_list: List[StrictStr] = Field( description="タスクに割り当てる入力データのID。タスクに割り当てることができる入力データの個数は最大200です。" ) metadata: Dict[str, Any] | None = Field( default=None, description="ユーザーが自由に登録できるkey-value型のメタデータです。 keyにはメタデータ名、valueには値を指定してください。 keyに指定できる文字種は次の通りです。 * 半角英数字 * `_` (アンダースコア) * `-` (ハイフン) valueに指定できる値は次の通りです。 * 文字列 * 数値 * 真偽値 ", ) __properties: ClassVar[List[str]] = ["input_data_id_list", "metadata"] model_config = ConfigDict( populate_by_name=True, validate_assignment=True, protected_namespaces=(), )
[docs] def to_str(self) -> str: """Returns the string representation of the model using alias""" return pprint.pformat(self.model_dump(by_alias=True))
[docs] def to_json(self) -> str: """Returns the JSON representation of the model using alias""" # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead return json.dumps(self.to_dict())
[docs] @classmethod def from_json(cls, json_str: str) -> Self | None: """Create an instance of TaskRequest from a JSON string""" return cls.from_dict(json.loads(json_str))
[docs] def to_dict(self) -> Dict[str, Any]: """Return the dictionary representation of the model using alias. This has the following differences from calling pydantic's `self.model_dump(by_alias=True)`: * `None` is only added to the output dict for nullable fields that were set at model initialization. Other fields with value `None` are ignored. """ excluded_fields: Set[str] = set([]) _dict = self.model_dump( by_alias=True, exclude=excluded_fields, exclude_none=True, ) return _dict
[docs] @classmethod def from_dict(cls, obj: Dict[str, Any] | None) -> Self | None: """Create an instance of TaskRequest from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({"input_data_id_list": obj.get("input_data_id_list"), "metadata": obj.get("metadata")}) return _obj